The field of Artificial Intelligence has seen explosive growth in recent years, yet a persistent challenge remains, namely bridging the gap between theoretical concepts and practical implementation. Too often, students encounter either highly abstract mathematical treatments disconnected from real-world applications, or simplified implementations that fail to convey the underlying principles. This textbook directly addresses this challenge through its unique approach combining clear theoretical explanations with comprehensive Python implementations. Drawing from the author’s extensive experience teaching at the University of eCampus, Italy, this book provides a thorough exploration of intelligent systems, covering classical approaches to cutting-edge techniques. Organized into three main areas, the book explores the foundations of intelligent systems, examines optimization and search methods that form the backbone of AI solutions, and ends by investigating machine learning fundamentals that enable systems to derive knowledge from experience. A distinguishing feature of this work is its practical approach. Each theoretical concept is paired with Python implementations and exercises. This hands-on methodology develops both conceptual understanding and practical skills simultaneously. The exercises progress from basic implementations to complex real-world problems. The textbook aims to serve both undergraduate and graduate students in computer science, engineering, and related disciplines. It assumes basic programming knowledge but introduces concepts progressively. Professionals implementing intelligent systems will also find valuable insights and practical guidance. Despite AI’s rapid evolution, this book provides both current knowledge and the conceptual framework necessary for understanding future developments. Ethical considerations are addressed throughout, encouraging critical thinking about responsible AI implementation. It is the author’s hope that this book will be a valuable resource in the reader’s journey to understand and design intelligent systems.
SKU
EBP-1926902
Categories Artificial Intelligence, Computer Vision & Pattern Recognition, Computers, General, Image Processing, Mathematics, Probability & Statistics, Speech & Audio Processing
Tag Oleksandr Kuznetsov
Intelligent Systems: From Theory to Applications: Foundations, Search Algorithms, and Machine Learning
$79.99 Original price was: $79.99.$59.99Current price is: $59.99.
| Book Author | Oleksandr Kuznetsov |
|---|---|
| ISBN | 9783032000446 |
| Language | English |
| Publisher | Springer |
| Publication Date | 10-10-2025 |
| Format | eBook |
Only logged in customers who have purchased this product may leave a review.
Related products
-
The Eye of Heaven
Rated 0 out of 5$9.99Original price was: $9.99.$7.49Current price is: $7.49. Add to cart -
Why Smart People Make Dumb Mistakes With Their Money
Rated 0 out of 5$9.98Original price was: $9.98.$7.49Current price is: $7.49. Add to cart -
Wildlife Between Empire and Nation in Twentieth-Century Africa
Rated 0 out of 5$89.00Original price was: $89.00.$66.75Current price is: $66.75. Add to cart -
What We Build Upon the Ruins
Rated 0 out of 5$9.99Original price was: $9.99.$7.49Current price is: $7.49. Add to cart





Reviews
There are no reviews yet.